Telco AI is no longer just a proof-of-concept. AI is no longer an overlay on the network. It is being embedded in the network itself, from telco-grade models running inside basebands and radios to agents working the incident chain. At the same time, the network’s customers are changing. AI-generated traffic, physical AI and, eventually, hundreds of billions of agents will bring demands that today’s networks were never designed around, including heavier uplink, deterministic latency and compute on tap.

That changes the equation. The industry no longer needs convincing that AI works in telecom – AT&T alone is processing tens of billions of tokens a day, and live RAN trials are measuring double-digit gains at the cell site. The task now is to industrialize it, with models that clear a telco-grade bar, data that machines can actually use, autonomy earned stage by stage, and value traced all the way to the CFO.

This report, which draws on insights shared during RCRTech’s Telco AI Forum, examines how operators, vendors and researchers are converging on that challenge, and what has to happen next to turn AI’s momentum into durable operational and commercial advantage.